IP | Country | PORT | ADDED |
---|---|---|---|
80.228.235.6 | de | 80 | 19 minutes ago |
213.33.126.130 | at | 80 | 19 minutes ago |
194.219.134.234 | gr | 80 | 19 minutes ago |
61.158.175.38 | cn | 9002 | 19 minutes ago |
154.16.146.42 | us | 80 | 19 minutes ago |
139.59.1.14 | in | 3128 | 19 minutes ago |
138.68.60.8 | us | 8080 | 19 minutes ago |
51.91.109.83 | fr | 80 | 19 minutes ago |
183.215.23.242 | cn | 9091 | 19 minutes ago |
188.112.179.204 | lv | 80 | 19 minutes ago |
194.158.203.14 | by | 80 | 19 minutes ago |
221.6.139.190 | cn | 9002 | 19 minutes ago |
213.157.6.50 | de | 80 | 19 minutes ago |
122.5.194.38 | cn | 1001 | 19 minutes ago |
103.249.201.6 | vn | 1177 | 19 minutes ago |
79.110.200.148 | pl | 8081 | 19 minutes ago |
192.95.33.162 | ca | 33513 | 19 minutes ago |
159.203.61.169 | ca | 8080 | 19 minutes ago |
119.3.113.150 | cn | 9094 | 19 minutes ago |
183.109.79.187 | kr | 80 | 19 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
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Scraping business contacts using regular expressions can be challenging and error-prone, especially considering the variations in contact information formats. Instead of using regular expressions directly, a better approach is to use a dedicated HTML parser like DOMDocument or a library like Simple HTML DOM Parser in PHP. This allows you to navigate the HTML structure and extract relevant information more reliably.
Here's an example using Simple HTML DOM Parser to scrape business contact information
Install Simple HTML DOM Parser:
You can download it from sourceforge and include it in your project, or use Composer:
composer require sunra/php-simple-html-dom-parser
Scraping Script:
find('span.phone-number') as $phoneElement) {
$contacts[] = $phoneElement->plaintext;
}
// Example: Extracting email addresses
foreach ($html->find('a.email') as $emailElement) {
$contacts[] = $emailElement->plaintext;
}
// Add more logic to extract other types of contact information
return $contacts;
}
// Example usage
$url = 'https://example.com/business-page';
$businessContacts = scrapeBusinessContacts($url);
// Print the extracted contacts
print_r($businessContacts);
Adjust the HTML element selectors (span.phone-number
, a.email
, etc.) based on the structure of the business contacts on the target website.
Remember:
The purpose of User Datagram Protocol (UDP) is to provide a simple and lightweight transport layer protocol for applications that do not require the reliability and overhead of the Transmission Control Protocol (TCP). UDP does not guarantee delivery, meaning it does not provide mechanisms for retransmission or acknowledgment of received packets. However, it offers fast and efficient communication, which is ideal for real-time applications such as video streaming, online gaming, and voice over IP (VoIP). These applications can tolerate some packet loss or delay and prioritize speed over reliability.
In Scrapy, you can control the caching behavior of requests made by rules in your spider by adjusting the dont_cache attribute in the Rule object. The dont_cache attribute, when set to True, indicates that the requests matched by the rule should not be cached.
Here's an example of how you can use dont_cache in a CrawlSpider:
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
class MySpider(CrawlSpider):
name = 'my_spider'
allowed_domains = ['example.com']
start_urls = ['http://example.com']
rules = (
# Example Rule with dont_cache set to True
Rule(LinkExtractor(allow=('/page/')), callback='parse_page', follow=True, dont_cache=True),
)
def parse_page(self, response):
# Your parsing logic for individual pages goes here
pass
- The spider is defined as a CrawlSpider.
- The Rule is created with LinkExtractor to match URLs that contain '/page/' in them.
- The dont_cache=True attribute is set to True in the Rule, indicating that requests matched by this rule should not be cached.
By setting dont_cache to True, Scrapy will make sure that requests matched by this rule will be fetched without considering the cache. This is useful when you want to ensure that each request to the specified URLs results in a fresh response, bypassing any cached data.
The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.
In Windows, proxy settings for local connections are made through the "Network and Sharing Center" (from the "Control Panel"). You need to select "Browser Properties", then go to "Connections" and click on "Network Setting". And there you can set either the script or the parameters for the proxy.
What else…